Jeremy Ferrer

Audit of the infrastructure, codebase, and organization to ensure successful project delivery. (FastAPI, MySQL, AWS) ➡️ Wrote a detailed report outlining issues, their impact, and how to resolve them ➡️ Identified and fixed performance bottlenecks at the application level (SQL, DLL, algorithms, infrastructure) ➡️ Trained teams on development best practices and issues related to floating-point arithmetic (number precision) and race conditions (data loss) ➡️ Added features: database schema updates, implementation of parameterized routes, creation of unit and functional tests

Brought in to support an R&D team on an innovative banking transactions project, with a delivery deadline set for the end of 2023. ➡️ Developed a REST backend with data retrieval from multiple sources (databases, microservices) (Java, Spring, PostgreSQL) ➡️ Modified existing endpoints to meet the SLA requirements of API clients: ➖ Reduced response times and optimized queries (SQL, algorithms) ➖ Ensured no regressions in new API versions ➖ Guaranteed consistency of input/output data models ➖ Backported fixes to older versions of the API

Established an R&D department (roadmap, processes, hiring, training) to maintain existing projects and launch an innovative real estate initiative. ➡️ Set up a crawling infrastructure to collect 50,000 new real estate listings for sale in France from 90 developers, with periodic execution and data integration into a normalized database (Docker, Python, PyCurl) ➡️ Built a backend with user management, providing API routes for a frontend (Python, FastAPI, PostgreSQL, Manticore) ➡️ Developed a multi-criteria search interface (price, area, location, etc.) along with an interactive map allowing users to define custom search areas (city, region, freehand drawing) (JavaScript, OpenLayers)

Took over a struggling team overwhelmed by the increasing maintenance demands of the connectivity project, which provided programmable integration with ~150 banks. ➡️ Acted as technical advisor in Python and managed a team of 10 developers ➡️ Modernized crawlers (Python, Java, Docker) ➡️ Introduced tools, metrics, and maintenance management methodologies: ➖ Prioritized tickets based on ROI (customer satisfaction, Jira, Zendesk) ➖ Created documentation, procedures, and CI/CD pipelines to reduce incidents, lower maintenance, and ensure long-term system stability (Confluence, Jenkins, Sonar) ➖ Implemented metrics and monitoring (ElasticSearch, Kibana, InfluxDB, Grafana, Flask) ➖ Led long-term planning to reduce maintenance overhead and improve both customer and developer satisfaction

Created the crawling division with the goal of modernizing the existing stack to deliver higher-quality data. ➡️ Responsible for collecting 60 million prices daily ➡️ Designed and implemented a custom crawling engine (Python, Scrapy) ➡️ Handled validation, transformation, and integration of product data (PHP) ➡️ Developed development support tools: environment management, analysis scripts (Docker, Flask, Pandas) ➡️ Deployed crawler infrastructure first on OVH with Debian, then migrated to Google Cloud using Kubernetes ➡️ Set up monitoring infrastructure (servers, logs) using the ELK stack (Elasticsearch, Logstash, Kibana) and Grafana

As part of an internship, I joined a highly professional team that taught me a great deal. ➡️ Developed under code review and continuous integration workflows (Travis) ➡️ Built user management features using Symfony 3 and integrated them into the API (PHP, MySQL) ➡️ Wrote functional tests using Behat 3 ➡️ Tuned Elasticsearch (spell correction, synonym handling, optimization, etc.)